Heritability Estimates of Endophenotypes of Long and Health Life: The Long Life Family Study

Amy M Matteini, M Daniele Fallin, Candace M Kammerer, Nicole Schupf, Anatoli I Yashin, Kaare Christensen, Konstantin G Arbeev, Graham Barr, Richard Mayeux, Mari-Anne Newman, Jeremy D Walston

Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

Resumé

BACKGROUND: Identification of gene variants that contribute to exceptional survival may provide critical biologic information that informs optimal health across the life span. METHODS: As part of phenotype development efforts for the Long Life Family Study, endophenotypes that represent exceptional survival were identified and heritability estimates were calculated. Principal components (PCs) analysis was carried out using 28 physiologic measurements from five trait domains (cardiovascular, cognition, physical function, pulmonary, and metabolic). RESULTS: The five most dominant PCs accounted for 50% of underlying trait variance. The first PC (PC1), which consisted primarily of poor pulmonary and physical function, represented 14.3% of the total variance and had an estimated heritability of 39%. PC2 consisted of measures of good metabolic and cardiovascular function with an estimated heritability of 27%. PC3 was made up of cognitive measures (h(2) = 36%). PC4 and PC5 contained measures of blood pressure and cholesterol, respectively (h(2) = 25% and 16%). CONCLUSIONS: These PCs analysis-derived endophenotypes may be used in genetic association studies to help identify underlying genetic mechanisms that drive exceptional survival in this and other populations.
OriginalsprogEngelsk
TidsskriftThe journals of gerontology. Series A, Biological sciences and medical sciences
Vol/bind65A
Udgave nummer12
Sider (fra-til)1375-1379
DOI
StatusUdgivet - 2. sep. 2010

Fingeraftryk

Endophenotypes
Lung
Health
Genetic Association Studies
Cognition
Population

Citer dette

Matteini, Amy M ; Fallin, M Daniele ; Kammerer, Candace M ; Schupf, Nicole ; Yashin, Anatoli I ; Christensen, Kaare ; Arbeev, Konstantin G ; Barr, Graham ; Mayeux, Richard ; Newman, Mari-Anne ; Walston, Jeremy D. / Heritability Estimates of Endophenotypes of Long and Health Life: The Long Life Family Study. I: The journals of gerontology. Series A, Biological sciences and medical sciences. 2010 ; Bind 65A, Nr. 12. s. 1375-1379.
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abstract = "BACKGROUND: Identification of gene variants that contribute to exceptional survival may provide critical biologic information that informs optimal health across the life span. METHODS: As part of phenotype development efforts for the Long Life Family Study, endophenotypes that represent exceptional survival were identified and heritability estimates were calculated. Principal components (PCs) analysis was carried out using 28 physiologic measurements from five trait domains (cardiovascular, cognition, physical function, pulmonary, and metabolic). RESULTS: The five most dominant PCs accounted for 50{\%} of underlying trait variance. The first PC (PC1), which consisted primarily of poor pulmonary and physical function, represented 14.3{\%} of the total variance and had an estimated heritability of 39{\%}. PC2 consisted of measures of good metabolic and cardiovascular function with an estimated heritability of 27{\%}. PC3 was made up of cognitive measures (h(2) = 36{\%}). PC4 and PC5 contained measures of blood pressure and cholesterol, respectively (h(2) = 25{\%} and 16{\%}). CONCLUSIONS: These PCs analysis-derived endophenotypes may be used in genetic association studies to help identify underlying genetic mechanisms that drive exceptional survival in this and other populations.",
author = "Matteini, {Amy M} and Fallin, {M Daniele} and Kammerer, {Candace M} and Nicole Schupf and Yashin, {Anatoli I} and Kaare Christensen and Arbeev, {Konstantin G} and Graham Barr and Richard Mayeux and Mari-Anne Newman and Walston, {Jeremy D}",
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language = "English",
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Matteini, AM, Fallin, MD, Kammerer, CM, Schupf, N, Yashin, AI, Christensen, K, Arbeev, KG, Barr, G, Mayeux, R, Newman, M-A & Walston, JD 2010, 'Heritability Estimates of Endophenotypes of Long and Health Life: The Long Life Family Study', The journals of gerontology. Series A, Biological sciences and medical sciences, bind 65A, nr. 12, s. 1375-1379. https://doi.org/10.1093/gerona/glq154

Heritability Estimates of Endophenotypes of Long and Health Life: The Long Life Family Study. / Matteini, Amy M; Fallin, M Daniele; Kammerer, Candace M; Schupf, Nicole; Yashin, Anatoli I; Christensen, Kaare; Arbeev, Konstantin G; Barr, Graham; Mayeux, Richard; Newman, Mari-Anne; Walston, Jeremy D.

I: The journals of gerontology. Series A, Biological sciences and medical sciences, Bind 65A, Nr. 12, 02.09.2010, s. 1375-1379.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

TY - JOUR

T1 - Heritability Estimates of Endophenotypes of Long and Health Life: The Long Life Family Study

AU - Matteini, Amy M

AU - Fallin, M Daniele

AU - Kammerer, Candace M

AU - Schupf, Nicole

AU - Yashin, Anatoli I

AU - Christensen, Kaare

AU - Arbeev, Konstantin G

AU - Barr, Graham

AU - Mayeux, Richard

AU - Newman, Mari-Anne

AU - Walston, Jeremy D

PY - 2010/9/2

Y1 - 2010/9/2

N2 - BACKGROUND: Identification of gene variants that contribute to exceptional survival may provide critical biologic information that informs optimal health across the life span. METHODS: As part of phenotype development efforts for the Long Life Family Study, endophenotypes that represent exceptional survival were identified and heritability estimates were calculated. Principal components (PCs) analysis was carried out using 28 physiologic measurements from five trait domains (cardiovascular, cognition, physical function, pulmonary, and metabolic). RESULTS: The five most dominant PCs accounted for 50% of underlying trait variance. The first PC (PC1), which consisted primarily of poor pulmonary and physical function, represented 14.3% of the total variance and had an estimated heritability of 39%. PC2 consisted of measures of good metabolic and cardiovascular function with an estimated heritability of 27%. PC3 was made up of cognitive measures (h(2) = 36%). PC4 and PC5 contained measures of blood pressure and cholesterol, respectively (h(2) = 25% and 16%). CONCLUSIONS: These PCs analysis-derived endophenotypes may be used in genetic association studies to help identify underlying genetic mechanisms that drive exceptional survival in this and other populations.

AB - BACKGROUND: Identification of gene variants that contribute to exceptional survival may provide critical biologic information that informs optimal health across the life span. METHODS: As part of phenotype development efforts for the Long Life Family Study, endophenotypes that represent exceptional survival were identified and heritability estimates were calculated. Principal components (PCs) analysis was carried out using 28 physiologic measurements from five trait domains (cardiovascular, cognition, physical function, pulmonary, and metabolic). RESULTS: The five most dominant PCs accounted for 50% of underlying trait variance. The first PC (PC1), which consisted primarily of poor pulmonary and physical function, represented 14.3% of the total variance and had an estimated heritability of 39%. PC2 consisted of measures of good metabolic and cardiovascular function with an estimated heritability of 27%. PC3 was made up of cognitive measures (h(2) = 36%). PC4 and PC5 contained measures of blood pressure and cholesterol, respectively (h(2) = 25% and 16%). CONCLUSIONS: These PCs analysis-derived endophenotypes may be used in genetic association studies to help identify underlying genetic mechanisms that drive exceptional survival in this and other populations.

U2 - 10.1093/gerona/glq154

DO - 10.1093/gerona/glq154

M3 - Journal article

C2 - 20813793

VL - 65A

SP - 1375

EP - 1379

JO - Journals of Gerontology. Series A: Biological Sciences & Medical Sciences

JF - Journals of Gerontology. Series A: Biological Sciences & Medical Sciences

SN - 1079-5006

IS - 12

ER -